Triple
T15245014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stoneleigh, Surrey |
E364355
|
entity |
| Predicate | typicalRailJourneyTimeToLondonWaterloo |
P46906
|
FINISHED |
| Object | approximately 30 minutes |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: approximately 30 minutes | Statement: [Stoneleigh, Surrey, typicalRailJourneyTimeToLondonWaterloo, approximately 30 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRailJourneyTimeToLondonWaterloo Context triple: [Stoneleigh, Surrey, typicalRailJourneyTimeToLondonWaterloo, approximately 30 minutes]
-
A.
timeToCentralLondonByTrain
Indicates the amount of time it takes to travel by train from a given location to central London.
-
B.
travelTimeTypical
chosen
Indicates the usual or expected amount of time it takes to travel between two locations under normal conditions.
-
C.
railwayTimeUsage
Indicates how much time is spent using or operating a railway within a given context or period.
-
D.
directionFromLondonKingsCross
Indicates the direction or bearing of a location when traveling from London King's Cross.
-
E.
commuterRailTravelTimeToManhattan
Indicates the travel time by commuter rail required to reach Manhattan from a given location.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f306f08190be448b215d6c9b6c |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:13 a.m.